The course had helped in understanding the concepts of NumPy and pandas. The assignments were so helpful to apply these concepts which provide an in-depth understanding of the Numpy as well as pandans
overall the good introductory course of python for data science but i feel it should have covered the basics in more details .specially for the ones who do not have any prior programming background .
By Ryan V•
Interesting material, poor instruction and not enough practice for things to sink in. Have to basically teach yourself everything through google searches.
By Colleen K•
I learned a lot by doing assignments, but the course materials are not helpful. Stackflow and Python documents guide me much more than the course itself.
By Mohammed A H•
During the course, the instructor was presenting with a background contains moving people which caused a big distraction to me.
By Sudharshan C•
The assignments can be better structured. I found it tough to navigate and perform operations
By Sai S•
Needs to be packaged in more interesting way..felt course contents and presentation vague
By Khairul A•
Too fast explanation
By Brian L•
TLDR - poor design of class makes for a bad experience and wasted time.
Longer - There is a disjunct between what is covered in the videos and what is tested in the assignments, and there are problems with the assignments (the autograder and the extremely dated pandas version supported) . The videos function as a partial reference guide, which is only very loosely what is tested in the assignments. If I didn't pay for the class, I would see value in the assignments themselves. Since I did pay for the class, I expect more value from the videos. For the 3rd and 4th weeks I proceeded more quickly by relying much more heavily on stack overflow and pandas documentation, to the point of sometimes ignoring the videos entirely. As-is the gaps between videos and assignments, on the one hand, and ongoing difficulty of knowing how to navigate the black box which is the autograder (using an outdated version of pandas) are shunted to the forums and other students, volunteers, and assistants. While the forum is helpful (always start there with the assignments, so you will waste less time on poorly designed / assessed questions!), it is poor pedagogy and a bad experience to offload bad course design onto it.
By Zayd A•
I had done "Python for Everybody" from Charles Severance which I had found excellent, with the instructor being passionate and the pace being just about right. I had assumed it would be similar for "Introduction to Data Science in Python", but that wasn't case. The delivery of the course is at a very very fast pace, you don't even have time to stop and absorb the functions and methods that you are supposed to learn. The instructor and the research assistant will list the functions and methods one after the other without pausing. The assignment is then extremely hard with no resemblance to the material in the course (I couldn't do it even after having reviewed the videos). After holding on for the first 2 weeks (it's a very useful topic after all), I gave up and decided to learn from the "learning the Pandas library book", which is a very good summary of the main Pandas functions and methods (and which was recommended by Dr Christopher Brooks), and I was able to follow it very easily.
By Lucas C•
Overall: I felt this course was useful but pretty time-consuming. The course had relatively limited taught material and relied a lot on searching & self-studying. If you have a fair amount of time it is a good choice.
Pros: You learn through doing assignments which are well supported by mentors/community. Also, you get used to studying through googling problems and learning from websites such as Stackoverflow.
Cons: Whilst this learning method definitely had its merits, it could be quite time-consuming for someone seeking to gain introductory-level skills quickly. You could find yourself in situations where you spend hours searching for something quite elementary and could easily have been taught to you, which could be frustrating. I personally think this course could be improved by adding a bit more small quizzes for beginners to play around with the basics, before requiring them to self-learn through searches.
By Susan C•
The lectures were essentially the instructor reading from the provided Jupyter notebooks at _very_ high speed. You can slow down the video, but then you get a weirdly artificial drone that is hard to listen to. And the lectures jump briskly from topic to topic without providing any context, or advice about writing good programs. The assignments took WAY more time than estimated because (a) there was a lot of self-learning via StackOverflow (b) the auto-grader is very very finicky. (It would have been useful to have a quick demo video showing how to approach the assignments and deal with the auto-grader).
That said, the people (TAs?) helping on the forums were very helpful. And I learned quite a bit, but mostly on my own.
By Markus Z•
Compared to the previous course I have taken at University of Michigan the content was ok but how it was taught I didn't like. Just reading rapidly the text of the Jupyter Notebook is not enough from my point of view. Ok you can find out the stuff yourself but why take then this course and don't go directly to stack overflow.
You just get weird replies from the auto grader and search through the forum to get any idea why you didn't pass. And if you pass, you will never know if your solution was the proper way to solve this task....
By Ruibo S•
The assignments are much more difficult than what is covered in the class. The teaching speed is too fast without enough PPT slides. The class coding demonstration is also too fast. The lecturer should either teach more in class or make the assignments easier. Assignment 3 and assignment 4 need a lot of independent studies of the functions in pandas library. If the assignments need a lot of independent studies, what is the meaning of the teaching in class?
By Daniel D•
I agree with some reviews saying that course was mostly limited to self-learning. Videos were rushed and learning mostly limited to self-studying. Assignments descriptions were confusing and not well explained, not to mention that it takes hours to figure out why correct solution is not accepted. I'd say writing code (correctly) takes 4 hours but then you need 8 hours to figure out why your answer is not accepted.
By Carl M•
Poorly worded questions (that are mentioned throughout the discussion board), older version of pandas and the course resources don't help you with course. Get ready to 'learn' by looking in StackOverflow or reading the volumes upon volumes of python/pandas documentation. In other words, expect to spend 15 hours a week per week (obviously it will vary)
By Brent D•
Lectures do not reflect what is required to complete the assignments. Much of the learning is left to independent study by the student. Assignment questions are too vague and frequently require parsing through class discussions to determine the answer the auto-grader is looking for.
By Olena K•
The lectures are not good. They go too quickly. They're about 5 minutes long, but you have to stop every minute or 30 seconds and rewind to understand what the instructor is saying. He just goes way too fast, and it's very frustrating. Really ruins the experience.
The teaching was sparse and assignments got very difficult very quickly. An inordinate amount of time was spent Googling to get past each step due to poor foundations. I learned more in a much shorter time from more gradual and concise YouTube tutorials.
By Yizi Z•
There is only few minutes taught video courses each week, although the reading materials and topics are quite interesting. The learning of python coding rely heavily on your own trial and error, which you could do even without this course.
By Saurabh C•
The level of course content and assignments is not at all similar. The course contents need to be revised, seems like the professor assumes we know everything about the topic. Also the teaching speed is extremely fast. Very Disappointed!
By Tsvetov P A•
With great tasks, lectures, there're terrible assignments, w/o explanation, multiple interpretations. Ttest task in Module 4, is really a hard task, w/o any explanation, could have moved it in a different course.
By BOORLA V N•
The instructor seems like he's reading out points of a book. No proper explanation of tools used followed by assignments so hard compared to what being taught in classes
By Lucas T•
not bad... theres a big mistake in the regex video.
assignments don't really match the lectures.
Without Corey Schafer and Sentdex on youtube I would've quit.
By Chris L•
It never felt like the material was covered in enough depth to give me confidence in the ability to do the assignments.
By Lee S•
Starts off well, then escalates way too quickly. Assignment 4 is incredibly complex and has poor guidance notes.
By Afshin A•
I really don't like the way of explaining the process
the worst course i have ever seen